Nine years designing AI and ML, infrastructure-grade products across VMware, Cisco & Alkira — where networks span continents, mistakes cost millions, and trust under pressure isn't just a nice-to-have, it is the product.






Every engagement started the same way: overwhelming data, fragile confidence. The interface was never the problem. The translation was.
A hackathon wireframe that became an enterprise ML-security product, shipped to Fortune 500 customers on a shoestring budget.
Not a feature. An operating model. Embedding AI across an enterprise infrastructure product, and the practice that makes it repeatable.
Six weeks of senior-architect work, compressed into a twenty-minute conversation. Business intent in, production-grade SD-WAN blueprints out.
I started as an engineer in Mumbai with a curiosity about what made enterprise tools feel so hostile. Nine years later I've built design practices, shipped ML-security products, and filed four patents across VMware, Cisco & Alkira, but the curiosity hasn't changed. It's still the same question: Why does it have to be this hard?
Four cities, five roles, one thread. The cricket obsession, the music, the geography? Read the full story.